中國沿海城市生產競爭力分析

碩士 === 東吳大學 === 經濟學系 === 95 === The study objects of this article are 20 main cities in mainland China coast. The research period is from 2003 to 2005, using the DEA-Solver-PRO software to estimate the super efficiency index of 20 cities under the SuperSBM-V model. It also carries on the place, si...

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Main Authors: Yi-ching Wang, 王憶菁
Other Authors: none
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/10382247577275457380
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spelling ndltd-TW-095SCU053890182015-10-13T16:55:43Z http://ndltd.ncl.edu.tw/handle/10382247577275457380 中國沿海城市生產競爭力分析 Yi-ching Wang 王憶菁 碩士 東吳大學 經濟學系 95 The study objects of this article are 20 main cities in mainland China coast. The research period is from 2003 to 2005, using the DEA-Solver-PRO software to estimate the super efficiency index of 20 cities under the SuperSBM-V model. It also carries on the place, simultaneously examines input factors that influences efficiency value. Next, it utilizes the Malmquist index to understand developing trends of various cities productivity in recent years. Finally, it utilizes the super efficiency index and the Malmquist index overlapping analysis to extract fit and unfit quality of the various cities synthesis performance specifically. The research demonstrates:(1)The amount of foreign capital investment is being highly connected with the size of the city production efficiency. Therefore, the cities which foreign capital inputs more investment, are relative effective on the production behavior. (2) In research period, the cities which present tendency of the continually growth on productivity year by year, are Shenzhen, Shanghai, Dongguang, Soochow and Nantong respectively. Otherwise, Malmquist index of Dalian, Amoy, Haikou and Wenzhou is smaller than 1, namely the productivity present tendency of constant decline.(3) The productivity and the super efficiency index of Hangzhow, Gingdao, Guangzhou, Shenzhen, Shenzhen, Dongguang, Soochow, Nantong, Weihai, and so on, are bigger than or equal to 1, namely the whole production is relative efficiently and also has potential to get ahead. none none 邱永和 柯慈儀 2007 學位論文 ; thesis 87 zh-TW
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description 碩士 === 東吳大學 === 經濟學系 === 95 === The study objects of this article are 20 main cities in mainland China coast. The research period is from 2003 to 2005, using the DEA-Solver-PRO software to estimate the super efficiency index of 20 cities under the SuperSBM-V model. It also carries on the place, simultaneously examines input factors that influences efficiency value. Next, it utilizes the Malmquist index to understand developing trends of various cities productivity in recent years. Finally, it utilizes the super efficiency index and the Malmquist index overlapping analysis to extract fit and unfit quality of the various cities synthesis performance specifically. The research demonstrates:(1)The amount of foreign capital investment is being highly connected with the size of the city production efficiency. Therefore, the cities which foreign capital inputs more investment, are relative effective on the production behavior. (2) In research period, the cities which present tendency of the continually growth on productivity year by year, are Shenzhen, Shanghai, Dongguang, Soochow and Nantong respectively. Otherwise, Malmquist index of Dalian, Amoy, Haikou and Wenzhou is smaller than 1, namely the productivity present tendency of constant decline.(3) The productivity and the super efficiency index of Hangzhow, Gingdao, Guangzhou, Shenzhen, Shenzhen, Dongguang, Soochow, Nantong, Weihai, and so on, are bigger than or equal to 1, namely the whole production is relative efficiently and also has potential to get ahead.
author2 none
author_facet none
Yi-ching Wang
王憶菁
author Yi-ching Wang
王憶菁
spellingShingle Yi-ching Wang
王憶菁
中國沿海城市生產競爭力分析
author_sort Yi-ching Wang
title 中國沿海城市生產競爭力分析
title_short 中國沿海城市生產競爭力分析
title_full 中國沿海城市生產競爭力分析
title_fullStr 中國沿海城市生產競爭力分析
title_full_unstemmed 中國沿海城市生產競爭力分析
title_sort 中國沿海城市生產競爭力分析
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/10382247577275457380
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